Improve model card: Add paper URL, pipeline tag and Github URL

README.md

@@ -1,14 +1,15 @@
 ---
-library_name: transformers
+base_model:
+- Qwen/Qwen2.5-32B-Instruct
+- NovaSky-AI/Sky-T1-32B-Preview
 datasets:
 - BAAI/TACO
 - tasksource/PRM800K
 language:
 - en
-base_model:
-- Qwen/Qwen2.5-32B-Instruct
-- NovaSky-AI/Sky-T1-32B-Preview
+library_name: transformers
 license: apache-2.0
+pipeline_tag: text-generation
 ---
 
 ## Model Details
@@ -18,9 +19,11 @@ license: apache-2.0
 <!-- Provide a longer summary of what this model is. -->
 
 This is a 32B reasoning model preference optimized on top of Sky-T1-32B-Preview to significantly reduce generation lengths while maintaining accuracy. The performance is on par with o1-preview model in both math and coding, while reducing generation lengths by up to 57% relative to Sky-T1-32B-Preview.
-Please see our [blog post](https://novasky-ai.github.io/posts/reduce-overthinking/) for more details.
+Please see our [blog post](https://novasky-ai.github.io/posts/reduce-overthinking/) and [Sky-T1 blog post](https://novasky-ai.github.io/posts/sky-t1/) for more details.
 
 - **Developed by:** NovaSky Team from Sky Computing Lab at UC Berkeley.
+- **Paper:** [LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!](https://hf.co/papers/2502.07374)
+- **Code:** [https://github.com/NovaSky-AI/SkyThought](https://github.com/NovaSky-AI/SkyThought)
 
 ## Training Details
 
@@ -71,3 +74,4 @@ Please considering citing our blog post if you found it useful for your research
   note         = {Accessed: 2025-01-23},
   year         = {2025}
 }
+```